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» Theoretical Frameworks for Data Mining
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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 8 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
15 years 3 months ago
Hot Item Mining and Summarization from Multiple Auction Web Sites
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
Tak-Lam Wong, Wai Lam
DAWAK
2006
Springer
15 years 1 months ago
Efficient Mining of Dissociation Rules
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Mikolaj Morzy
MSR
2006
ACM
15 years 3 months ago
An open framework for CVS repository querying, analysis and visualization
We present an open framework for visual mining of CVS software repositories. We address three aspects: data extraction, analysis and visualization. We first discuss the challenges...
Lucian Voinea, Alexandru Telea
DATE
2008
IEEE
122views Hardware» more  DATE 2008»
15 years 4 months ago
Simulation-Directed Invariant Mining for Software Verification
With the advance of SAT solvers, transforming a software program to a propositional formula has generated much interest for bounded model checking of software in recent years. How...
Xueqi Cheng, Michael S. Hsiao